Students learn about:  Students learn to: 
  • analysing the process by which data can be represented and summarised so that humans can better understand it 
  • hardware requirements for analysing, for a particular type of analysis including:
    • large amounts of primary and secondary storage allowing for fast processing
    • fast processors allowing many rapid calculations
  • software features for analysis, including:
    • searching/selecting data
    • sorting
    • modelling/simulations
    • what-if scenarios
    • charts and graphs to identify trends
    • file comparison
  • social and ethical issues associated with analysis, including:
    • unauthorised analysis of data
    • data incorrectly analysed
    • erosion of privacy from linking databases for analysis
  • identify hardware requirements to carry out a particular type of analysis 
  • describe the best organisation for data for a particular type of analysis
  • use software analysis features in a range of software applications to analyse image, audio, video, text and numeric data
  • compare and contrast computer and non-computer tools for analysis on the basis of speed, volume of data that can be analysed, and cost
  • analyse data on individuals for the purpose it was collected